Coldsp33d

import perfplot 
import pandas as pd

def vec(df):
    return df['A'] + df['B']

def vec_numpy(df):
    return df['A'].to_numpy() + df['B'].to_numpy()

def list_comp(df):

jonjack

Using an Access Token for the first time

Follow the instructions on Github to Create an Access Token in Github

Configure Git to use the osxkeychain

By default, git credentials are not cached so you need to tell Git if you want to avoid having to provide them each time Github requires you to authenticate. On Mac, Git comes with an “osxkeychain” mode, which caches credentials in the secure keychain that’s attached to your system account.

You can tell Git you want to store credentials in the osxkeychain by running the following:-

hugoncosta

import nltk
from nltk.corpus import stopwords
from nltk.stem import RSLPStemmer
from nltk.stem.wordnet import WordNetLemmatizer

# Download list
!wget https://github.com/michmech/lemmatization-lists/raw/master/lemmatization-pt.txt -q

nltk.download('stopwords')
nltk.download('rslp')

gokselpirnal

var getRobberies = function(done){
	console.log('%c Soygun seçiliyor.','background: black; color: white')
	$.ajax({
  		type: "GET",
  		url: 'https://www.thecrims.com/api/v1/robberies',
  		success: function(res){
  			done(res.single_robberies
                           .filter(robbery => robbery.successprobability == 100)
                           .sort((a, b) => b.difficulty - a.difficulty)
                           .find((x, index) => index == 0))

wassname

"""
In jupyter notebook simple logging to console
"""
import logging
import sys

logging.basicConfig(stream=sys.stdout, level=logging.INFO)

# Test
logger = logging.getLogger('LOGGER_NAME')

rdinse

# Simple Google Drive backup script with automatic authentication
# for Google Colaboratory (Python 3)

# Instructions:
# 1. Run this cell and authenticate via the link and text box.
# 2. Copy the JSON output below this cell into the `mycreds_file_contents`
#    variable.  Authentication will occur automatically from now on.
# 3. Create a new folder in Google Drive and copy the ID of this folder
#    from the URL bar to the `folder_id` variable.
# 4. Specify the directory to be backed up in `dir_to_backup`.

mmmayo13

from tpot import TPOTClassifier
from sklearn.cross_validation import train_test_split
from sklearn.datasets import load_iris
import time

# Load and split the data
iris = load_iris()
X_train, X_test, y_train, y_test = train_test_split(iris.data, iris.target, test_size=0.2, random_state=42)

# Construct and fit TPOT classifier

rubychilds

Classic Networks

LeNet-5: LeCun et al, "Gradient-Based Learning Applied to Document Recognition": http://yann.lecun.com/exdb/publis/pdf/lecun-01a.pdf

AlexNet: Krizhevsky et al, "ImageNet Classification with Deep Convolutional Neural Networks": https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf

VGG-16: Simonyan et al, "Very Deep Convolutional Networks for Large-Scale Image Recognition": https://arxiv.org/pdf/1409.1556.pdf

Resnets

mskoroglu

RUN tz=Europe/Istanbul && cp -vf /usr/share/zoneinfo/$tz /etc/localtime && echo $tz | tee /etc/timezone

jganzabal

This configuration worked for me, hope it helps

It is based on: https://becominghuman.ai/deep-learning-gaming-build-with-nvidia-titan-xp-and-macbook-pro-with-thunderbolt2-5ceee7167f8b

and on: https://stackoverflow.com/questions/44744737/tensorflow-mac-os-gpu-support

Hardware